ArticleJournal of neuroscience methods2019
Post-acquisition processing confounds in brain volumetric quantification of white matter hyperintensities.
Article in Journal of neuroscience methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- One-Year Radiologic Progression in Sporadic and Hereditary Cerebral Amyloid Angiopathy.Neurology · 2025Article
- How often does white matter hyperintensity volume regress in cerebral small vessel disease?International journal of stroke : official journal of the International Stroke Society · 2023Article
- White matter hyperintensities influence distal cortical β-amyloid accumulation in default mode network pathways.Brain and behavior · 2023Article
- Multi-Site Cross-Site Inter-Rater and Test-Retest Reliability and Construct Validity of the MarkVCID White Matter Hyperintensity Growth and Regression Protocol.Journal of Alzheimer's disease : JAD · 2023Article
- Development of a protocol to assess within-subject, regional white matter hyperintensity changes in aging and dementia.Journal of neuroscience methods · 2021Article
- Cardiorespiratory fitness diminishes the effects of age on white matter hyperintensity volume.PloS one · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundDisparate research sites using identical or near-identical magnetic resonance imaging (MRI) acquisition techniques often produce results that demonstrate significant variability regarding volumetric quantification of white matter hyperintensities (WMH) in the aging population. The sources of such variability have not previously been fully explored. NEW
method3D FLAIR sequences from a group of randomly selected aged subjects were analyzed to identify sources-of-variability in post-acquisition processing that can be problematic when comparing WMH volumetric data across disparate sites. The methods developed focused on standardizing post-acquisition protocol processing methods to develop a protocol with less than 0.5% inter-rater variance.
resultsA series of experiments using standard MRI acquisition sequences explored post-acquisition sources-of-variability in the quantification of WMH volumetric data. Sources-of-variability included: the choice of image center, software suite and version, thresholding selection, and manual editing procedures (when used). Controlling for the identified sources-of-variability led to a protocol with less than 0.5% variability between independent raters in post-acquisition WMH volumetric quantification. COMPARISON WITH EXISTING METHOD(S): Post-acquisition processing techniques can introduce an average variance approaching 15% in WMH volume quantification despite identical scan acquisitions. Understanding and controlling for such sources-of-variability can reduce post-acquisition quantitative image processing variance to less than 0.5%. DISCUSSION: Considerations of potential sources-of-variability in MRI volume quantification techniques and reduction in such variability is imperative to allow for reliable cross-site and cross-study comparisons.
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